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Randomness and probability in the early CS courses

Published: 23 February 2005 Publication History

Abstract

Randomness and probability are essential notions in CS studies. They are invoked and employed in diverse courses at different levels. Although a structured course on these notions does not usually appear early in the curriculum, students and educators may benefit from their encapsulation already in CS0 and CS1. The special session will involve motivation, demonstration, and discussion with the audience of the assets of such an encapsulation. Attending CS educators will enrich their teaching perspectives, pedagogical tools, and assignment repertoires.

References

[1]
http://mathworld.wolfram.com/BirthdayProblem.html
[2]
http://mathworld.wolfram.com/BuffonsNeedleProblem.html
[3]
http://mathworld.wolfram.com/GaltonBoard.html
[4]
Hogg, R. V. and Tanis, E. A., Probability and Statistical Inference, Macmillan (2000). Von Savant, M., The Power of Logical Thinking, St. Martin Press (1996).

Cited By

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  • (2011)A course on probability theory for computer scientistsProceedings of the 42nd ACM technical symposium on Computer science education10.1145/1953163.1953245(263-268)Online publication date: 9-Mar-2011
  • (2007)A course on simulation, probability and statisticsACM SIGCSE Bulletin10.1145/1227504.122735039:1(110-114)Online publication date: 7-Mar-2007
  • (2007)A course on simulation, probability and statisticsProceedings of the 38th SIGCSE technical symposium on Computer science education10.1145/1227310.1227350(110-114)Online publication date: 7-Mar-2007

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      cover image ACM Conferences
      SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education
      February 2005
      610 pages
      ISBN:1581139977
      DOI:10.1145/1047344
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 23 February 2005

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      Author Tags

      1. probability
      2. randomness

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      SIGCSE05
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      SIGCSE05: Technical Symposium on Computer Science Education
      February 23 - 27, 2005
      Missouri, St. Louis, USA

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      Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

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      Cited By

      View all
      • (2011)A course on probability theory for computer scientistsProceedings of the 42nd ACM technical symposium on Computer science education10.1145/1953163.1953245(263-268)Online publication date: 9-Mar-2011
      • (2007)A course on simulation, probability and statisticsACM SIGCSE Bulletin10.1145/1227504.122735039:1(110-114)Online publication date: 7-Mar-2007
      • (2007)A course on simulation, probability and statisticsProceedings of the 38th SIGCSE technical symposium on Computer science education10.1145/1227310.1227350(110-114)Online publication date: 7-Mar-2007

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